AI in Neuroradiology: Research, Implementation and Ethics (2022)-WEB29-2022

Video Transcription

Video Summary

The webinar, moderated by Max Wintermark, explores the integration of AI in neuroradiology, focusing on research, implementation, and ethical considerations with expert speakers like Dr. Yvonne Louis, Luciano Prevedello, Mark Colley, and Suzy Bash. Dr. Louis discusses "upstream AI," emphasizing the importance of faster and higher-quality MRI image acquisition using AI, particularly partnering with private sector giants like Siemens and Facebook for enhanced imaging data sets. Luciano Prevedello then shifts focus to "downstream AI," explaining the implications of AI in clinical applications, the importance of unbiased, comprehensive data, and balancing sensitivity and specificity for accurate detection in neuroradiology. He exemplifies critical finding identification algorithms and their workflow improvements, noting the need for local data validation due to algorithm transferability issues. Lastly, Mark Colley addresses AI ethics, highlighting bias concerns, especially in demographic data influencing algorithms in healthcare, and the importance of ongoing algorithm validation and risk considerations when implementing AI technologies. The Q&A segment reveals practical applications in clinical settings and stresses major obstacles such as radiologist adaptation and clear business models for AI tools, alongside discussions about financial models, insurance implications, and reimbursement challenges. Overall, the webinar emphasizes that while AI in neuroradiology offers promising advancements, significant challenges in ethical application, business viability, and integration remain.

Keywords

AI in neuroradiology

MRI image acquisition

upstream AI

downstream AI

AI ethics

algorithm validation

bias in healthcare

radiologist adaptation

business models

ethical considerations